Who we are
We come from countries around the world to form a community of humans focused on the responsible development of AI. At MIT and IBM Research, we share a “mind and hand” commitment to the scientific method grounded in the practical pursuit of solving the world’s biggest problems.
The team at IBM Research Cambridge in Kendall Square.
Leadership
The lab operates on a mirrored leadership structure, co-led by our IBM Research director David Cox and our MIT director Aude Oliva. Each of our 70+ projects is jointly proposed and jointly executed by IBM research scientists and MIT faculty members. Our annual Request for Proposals is overseen by the MIT-IBM Steering Committee. The 2020 committee is Aude Oliva (Co-Director and Steering Committee Co-Chair), David Cox (Co-Director and Steering Committee Co-Chair), Antonio Torralba (Head of AI+D, MIT Schwarzman College of Computing), Dan Huttenlocher (Dean, MIT Schwarzman College of Computing), Lisa Amini (Director, IBM Research Cambridge), and Jeff Welser (Vice President, IBM Research Exploratory Science).
Dr. Aude Oliva is the MIT director of the MIT–IBM Watson AI Lab and co-director of the MIT Quest for Intelligence. She is a senior research scientist at the MIT Computer Science and Artificial Intelligence Laboratory (CSAIL), where she leads research in neuroscience, computer vision, and machine learning.
Dr. David Cox is the IBM Director the MIT-IBM Watson AI Lab. Formerly a Harvard professor, he is a computational neuroscientist prioritizing the lab’s work in neuro-symbolic AI and other key areas while leading the lab’s IBM team in Cambridge.
Dr. Anantha Chandrakasan is the dean of the MIT School of Engineering, the Vannevar Bush Professor of Electrical Engineering and Computer Science, and the MIT Chair of the MIT-IBM Watson AI Lab. His research focuses on making electronic circuits more energy efficient.
Dr. Dario Gil is the IBM Chair of the MIT-IBM Watson AI Lab and the Director of IBM Research. He received his Ph.D. in Electrical Engineering and Computer Science from MIT and now leads IBM’s research strategies in Quantum, AI, Security, and other key areas.
People
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Lydia Bourouiba Dimitris Bertsimas Yujia Bao Guy Bresler Dimitri Bertsekas Danielle Braje Duane Boning Markus Buehler Tamara Broderick Regina Barzilay Abhishek BhandwaldarC
Connor Coley Pin-Yu Chen Isaac Chuang Michael Carbin Shiyu Chang Jie Chen John Cohn David Cox Anantha ChandrakasanD
Amar Das Munther Dahleh Luca Daniel Jesús Del Alamo Constantinos Daskalakis James DiCarlo Subhro DasF
Martin Fleming Rogerio Feris Ernest Fraenkel Stan Finkelstein Jonathan Frankle Nathan Fulton Quanfu FanG
Polina Golland Rafael Gomez-Bombarelli Jeremy Gregory Shafi Goldwasser James Glass Soumya Ghosh Dan Gutfreund Kristjan Greenewald Chuang Gan Dario GilH
Thomas Heldt Daniel Huttenlocher Jonathan How Aram Harrow Song Han Seungwook Han Ben Dongsung Huh Nghia HoangK
Yoon Kim Jeehwan Kim Tim Kraska Michael Katz Boris Katz Leslie Kaelbling Hildegard Kühne Dmitry Krotov Murat KocaogluL
Douglas Lauffenburger Luqiao Liu Tomás Lozano-Perez Ju Li Ilaria Liccardi Li-wei Lehman Charles E. Leiserson Roger Levy Sijia LiuM
Muriel Medard Ramis Movassagh Scott McFaddin Aleksander Madry Ian Molloy Vikash Mansinghka Roger Mark Josh McDermott Benedetto Marelli Rahul Mazumder Youssef Mroueh Lee Martie Sara Magliacane Farzaneh MirzazadehR
Frances Ross Daniela Rus Ronald Rivest Preethi Raghavan Giuseppe Romano Raul Radovitzky Mardavij Roozbehani Ronitt Rubinfeld Jessie RosenbergS
Devavrat Shah Stacy Springs Mark Squillante Peter Shor Arvind Satyanarayan David Simchi-Levi Julie Shah Peter Szolovits Collin M. Stultz Vivienne Sze David Sontag Kristen Severson Karthikeyan Shanmugam Prasanna Sattigeri Justin Solomon Hendrik Strobelt Akash SrivastavaAI Safety
Nathan FultonAI for Good
Kalyan VeeramachaneniAI in Healthcare
Preethi Raghavan Amar Das Thomas Heldt Ernest Fraenkel Peter Szolovits Roy Welsch Stan Finkelstein Kristen Severson Regina BarzilayActive Learning
Nghia HoangBig Data
Guy BreslerCausal Inference
Caroline Uhler Karthikeyan Shanmugam Sara Magliacane Murat Kocaoglu Kristjan GreenewaldComputational Analysis
Douglas LauffenburgerComputational Social Science
Dean EcklesComputer Vision
Rameswar Panda Rogerio Feris Daniel Huttenlocher Dan Gutfreund Hildegard Kühne Quanfu Fan Aude Oliva Antonio TorralbaExplainability
Hendrik StrobeltFluid Dynamics
Lydia BourouibaGraph Deep Learning
Mark WeberHigh Performance Computing
Steven JohnsonKnowledge Representation
Veronika ThostMachine Learning
Neil Thompson Abdullah Al-Dujaili Munther Dahleh Gregory Wornell Tim Kraska Rahul Mazumder Stefanie Jegelka Una-May O’Reilly Michael Carbin Tommi Jaakkola Justin SolomonMedical Image Analysis
Polina GollandMulti-agent Systems
Asu OzdaglarMultimodal Learning
Youssef MrouehOptimization
Yonina Eldar Stacy Springs Dimitris Bertsimas Mark Squillante Dimitri Bertsekas Ali Jadbabaie Jie ChenReinforcement Learning
Pulkit AgrawalStatistics
Devavrat ShahTransfer Learning
Prasanna SattigeriWireless technology
Muriel Medard